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This paper introduces a large-scale Korean speech dataset, called VOTE400,that can be used for analyzing and recognizing voices of the elderly people.The dataset includes about 300 hours of continuous dialog speech and 100 hoursof read speech, both recorded by the elderly people aged 65 years or over. Apreliminary experiment showed that speech recognition system trained withVOTE400 can outperform conventional systems in speech recognition of elderlypeople's voice. This work is a multi-organizational effort led by ETRI andMINDs Lab Inc. for the purpose of advancing the speech recognition performanceof the elderly-care robots.

VOTE400(Voide Of The Elderly 400 Hours): A Speech Dataset to Study Voice Interface for Elderly-Care